Resolution of closely spaced optical targets using maximum likelihood estimator and maximum entropy method: A comparison study
Abstract
The capabilities of the maximum likelihood estimator (MLE) and the maximum entropy method (MEM) in resolving closely spaced optical point targets are compared using Monte Carlo simulation results for three different examples. It is found that the MEM is very sensitive to the noise and that the MLE performs better than the MEM in all examples.
- Publication:
-
Unknown
- Pub Date:
- March 1981
- Bibcode:
- 1981rcso.rept.....T
- Keywords:
-
- Maximum Entropy Method;
- Maximum Likelihood Estimates;
- Spatial Distribution;
- Spatial Resolution;
- Electromagnetic Noise;
- Monte Carlo Method;
- Simulation;
- Optics